Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs

Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs

What is GraphQL? And how can you combine GraphQL with Apache Kafka® to query data in real time? With over 10 years of experience as a backend engineer, Gerard Klijs is a Confluent Community Catalyst, a contributor to several GraphQL libraries, and also a creator and maintainer of a Rust library to use Confluent Schema Registry with Java client. In this episode, he explains why you want to use Kafka with GraphQL and how they work together to bridge the gap between backend and frontend to make ...

Episoder(283)

Improving Apache Kafka Scalability and Elasticity with Tiered Storage

Improving Apache Kafka Scalability and Elasticity with Tiered Storage

What happens when you need to store more than a few petabytes of data? Rittika Adhikari (Software Engineer, Confluent) discusses how her team implemented tiered storage, a method for improving the sca...

22 Nov 202229min

Decoupling with Event-Driven Architecture

Decoupling with Event-Driven Architecture

In principle, data mesh architecture should liberate teams to build their systems and gather data in a distributed way, without having to explicitly coordinate. Data is the thing that can and should d...

15 Nov 202238min

If Streaming Is the Answer, Why Are We Still Doing Batch?

If Streaming Is the Answer, Why Are We Still Doing Batch?

Is real-time data streaming the future, or will batch processing always be with us? Interest in streaming data architecture is booming, but just as many teams are still happily batching away. Batch pr...

9 Nov 202243min

Security for Real-Time Data Stream Processing with Confluent Cloud

Security for Real-Time Data Stream Processing with Confluent Cloud

Streaming real-time data at scale and processing it efficiently is critical to cybersecurity organizations like SecurityScorecard. Jared Smith, Senior Director of Threat Intelligence, and Brandon Brow...

3 Nov 202248min

Running Apache Kafka in Production

Running Apache Kafka in Production

What are some recommendations to consider when running Apache Kafka® in production? Jun Rao, one of the original Kafka creators, as well as an ongoing committer and PMC member, shares the essential wi...

27 Okt 202258min

Build a Real Time AI Data Platform with Apache Kafka

Build a Real Time AI Data Platform with Apache Kafka

Is it possible to build a real-time data platform without using stateful stream processing? Forecasty.ai is an artificial intelligence platform for forecasting commodity prices, imparting insights int...

20 Okt 202237min

Optimizing Apache JVMs for Apache Kafka

Optimizing Apache JVMs for Apache Kafka

Java Virtual Machines (JVMs) impact Apache Kafka® performance in production. How can you optimize your event-streaming architectures so they process more Kafka messages using the same number of JVMs? ...

13 Okt 20221h 11min

Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates

Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates

Apache Kafka® 3.3 is released! With over two years of development, KIP-833 marks KRaft as production ready for new AK 3.3 clusters only. On behalf of the Kafka community, Danica Fine (Senior Developer...

3 Okt 20226min

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